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Apple Data Engineer Jobs in Colorado (NOW HIRING)

Apple has assembled an elite Acoustics team that enables our customers to experience music with ... Ability to use dimensional data to inform part design decisions including: conducting tolerance ...

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive ... engineering data (FAI/CPK, tolerance analysis) Experience engaging with manufacturers Creative ...

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive ... engineering data (FAI/CPK, tolerance analysis) Experience engaging with manufacturers Creative ...

Product Design Engineer - Softgoods

Boulder, CO · On-site

$133K - $160K/yr

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive ... engineering data (FAI/CPK, tolerance analysis) Experience engaging with manufacturers Creative ...

At Apple, extraordinary ideas have a way of quickly becoming extraordinary products, services, and ... Ability to use dimensional data to inform part design decisions including: conducting tolerance ...

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

At Apple, new ideas have a way of becoming great products, services, and customer experiences very ... multimodal sensor data - like motion and audio - to detect user activities and contextual ...

Title - Data Validation Engineer Location: Denver, CO- onsite (local) * 5+ years in QA & Minimum ... Experience testing across connected devices (iOS, Android, Roku, Apple TV, SamsungTV) is plus

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Apple Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do apple data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for apple data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple Data Engineer, and why are they important?

To thrive as an Apple Data Engineer, you need a strong background in computer science, data modeling, and large-scale data processing, typically supported by a relevant degree and experience with distributed systems. Proficiency with tools like SQL, Python, Spark, Hadoop, and data warehousing solutions, as well as familiarity with Apple’s proprietary technologies, is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate across teams and ensure data integrity. These skills and qualities are crucial for building reliable data pipelines and enabling data-driven decision-making at scale.

What are some common challenges faced by Apple Data Engineers when managing large-scale data pipelines?

Apple Data Engineers often work with massive volumes of data that require robust, scalable pipeline solutions. One common challenge is ensuring data quality and consistency across distributed systems, especially as requirements and data sources evolve rapidly. Additionally, optimizing data processing for speed and reliability while meeting strict security and privacy standards can be complex. Collaborating closely with data scientists, software engineers, and product teams is essential to align technical solutions with business objectives.

What are Apple Data Engineers?

Apple Data Engineers are professionals who design, build, and maintain the data infrastructure and systems used by Apple to support its products and services. They work with large volumes of data, creating pipelines and tools to collect, process, and analyze information efficiently. Their responsibilities often include integrating new data sources, optimizing data storage, and ensuring data quality and security. Apple Data Engineers collaborate with data scientists, analysts, and other engineers to deliver insights and enable data-driven decision-making within the company.

What is the difference between Apple Data Engineer vs Apple Data Analyst?

AspectApple Data EngineerApple Data Analyst
Required SkillsData pipeline development, SQL, Python, Spark, cloud platformsData interpretation, reporting, SQL, Excel, visualization tools
Work EnvironmentEngineering teams, data infrastructure projectsBusiness teams, data reporting and insights
Common CertificationsCloud certifications, data engineering certificationsData analysis certifications, Tableau, Excel certifications

Apple Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems to support data collection and processing. In contrast, Apple Data Analysts interpret data, create reports, and provide insights to inform business decisions. While both roles require strong SQL skills, Data Engineers emphasize technical infrastructure, whereas Data Analysts focus on data visualization and storytelling.

What are popular job titles related to Apple Data Engineer jobs in Colorado? For Apple Data Engineer jobs in Colorado, the most frequently searched job titles are:
Data Scientist/Engineer - Junior (Remote)

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Boulder, CO • On-site

Other

Re-posted 22 days ago


Job description

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